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Browse Journals & Magazines > Magnetics, IEEE Transactions ...> Volume:34 Issue:3 Help

Performance estimation for maximum-likelihood detection for channels with transition noise

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2 Author(s)
Chen, M. ; Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA ; Trachtenberg, E.A.

Transition noise is known to be a major cause of errors for high density magnetic recording. This noise is signal dependent and can be modeled as multiplicative noise in a linear channel model. A maximum-likelihood algorithm was considered for detection of signals in such noise. In this work, the performance of the detector, based on this algorithm, is compared to the traditional Viterbi algorithm (VA) and a modified Viterbi algorithm (MVA) by computer simulations. Results show an improvement of up to 5 dB In signal-to-noise-ratio (SNR) under typical conditions with a reasonable complexity

Published in:
Magnetics, IEEE Transactions on  (Volume:34 ,  Issue: 3 )

Date of Publication: May 1998

Page(s):
754 - 762
ISSN :
0018-9464
INSPEC Accession Number:
5915574
Digital Object Identifier :
10.1109/20.668082
Product Type:
Journals & Magazines
Date of Current Version :
06 August 2002
Issue Date :
May 1998
Sponsored by :
IEEE Magnetics Society

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